| E-graphsage: A graph neural network based intrusion detection system for iot WW Lo, S Layeghy, M Sarhan, M Gallagher, M Portmann NOMS 2022-2022 IEEE/IFIP Network Operations and Management Symposium, 1-9, 2022 | 158 | 2022 |
| An xception convolutional neural network for malware classification with transfer learning WW Lo, X Yang, Y Wang 2019 10th IFIP international conference on new technologies, mobility and …, 2019 | 108 | 2019 |
| Anomal-E: A self-supervised network intrusion detection system based on graph neural networks E Caville*, WW Lo*, S Layeghy, M Portmann Knowledge-Based Systems 258, 110030, 2022 | 52 | 2022 |
| HBFL: A Hierarchical Blockchain-based Federated Learning Framework for a Collaborative IoT Intrusion Detection M Sarhan, WW Lo, S Layeghy, M Portmann Computers and Electrical Engineering 103, 108379, 2022 | 41 | 2022 |
| Inspection-L: self-supervised GNN node embeddings for money laundering detection in bitcoin WW Lo, GK Kulatilleke, M Sarhan, S Layeghy, M Portmann Applied Intelligence 53 (16), 19406-19417, 2023 | 31* | 2023 |
| XG-BoT: An explainable deep graph neural network for botnet detection and forensics WW Lo, G Kulatilleke, M Sarhan, S Layeghy, M Portmann Internet of Things 22, 100747, 2023 | 26 | 2023 |
| Graph Neural Network-based Android Malware Classification with Jumping Knowledge WW Lo, S Layeghy, M Sarhan, M Gallagher, M Portmann 2022 IEEE Conference on Dependable and Secure Computing (DSC), 2022 | 19 | 2022 |
| Flowtransformer: A transformer framework for flow-based network intrusion detection systems LD Manocchio, S Layeghy, WW Lo, GK Kulatilleke, M Sarhan, ... Expert Systems with Applications 241, 122564, 2024 | 5 | 2024 |
| Doc-nad: A hybrid deep one-class classifier for network anomaly detection M Sarhan, G Kulatilleke, WW Lo, S Layeghy, M Portmann 2023 IEEE/ACM 23rd International Symposium on Cluster, Cloud and Internet …, 2023 | 2 | 2023 |
| Graph representation learning for cyberattack detection and forensics WW Lo MPhil Thesis, 2023 | | 2023 |
Siamak LayeghyUniversity of QueenslandVerified email at uq.net.au
